As organizations move from experimenting with AI to deploying autonomous AI agents, security leaders are confronting a new set of governance and risk challenges. Earlier this year, more than 30 chief information security officers met weekly through the CyberRisk Collaborative (CRC) to examine how enterprises can safely adopt AI systems capable of making decisions, executing workflows, and interacting with sensitive enterprise data and infrastructure.The result is a practical toolkit that captures the group's collective guidance for securing and governing agentic AI. Developed by practitioners for practitioners, the resource outlines approaches for establishing governance models, implementing security controls, monitoring AI agent activity, and managing the operational risks that accompany increasingly autonomous systems.The snapshot below offers a preview of the report's recommendations and reflects the real-world discussions taking place among security executives as organizations prepare for the next phase of enterprise AI adoption.View the ToolkitThe CyberRisk Collaborative is a peer-led community dedicated to advancing cybersecurity leadership through practitioner-driven collaboration. By bringing CISOs together to share experiences, develop best practices, and create practical resources, the CRC helps security leaders strengthen their organizations while supporting the professional growth of current and future cybersecurity executives. Members gain access to executive peer networks, educational programming, research, and implementation guidance designed to address today's most pressing cybersecurity challenges.If you're interested in learning more about the CyberRisk Collaborative or participating in future working groups, visit https://www.cyberriskcollaborative.com/membership-inquiries.
AI/ML
CISOs Build Practical Playbook for Governing Agentic AI

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